I have been an entrepreneur for most of my life, starting from 12 years old. Some of my endeavors:
Most of these failed or burned me out.
After my studies, I started working as a data scientist and management consultant. Not only did I do a lot of coding during these years, but I also advised large corporates on data and business. Some of my analytics work saved firms $100’s millions.
I got really deep into what data means for business success. I believe most unsuccessful businesses have data to make a profitable pivot, but struggle with leveraging this asset.
My current focus is on making small SaaS businesses successful. That's why I developed the strategy below, which I genuinely think can be done with a small, dedicated team of 2-3 individuals.
The business side of SaaS is a 100% dedicated effort, not something that is done on the side. Most creative ideas come when you’re not forcing them. If your head is cluttered with tech problems, you will find tech solutions. Someone that can dedicate 100% of the time to growing the business will find the best ways to do it.
It is essential to understand the context of the product. The goal is not necessarily to build a product. The goal is to build a tool to learn what product to build. A process is in place to understand the industry and identify pain points to create a profitable business.
Normally, you start with a solution for a specific problem already in mind. This is the starting point of the plan.
A specific problem that prospective customers of the business are experiencing in the marketplace. This is the foundation of the solution.
Analyze the market. It is important to be in a growing market with low competition. If the market is not growing, a new solution should be found in a different market. This is essential to maximize the chances of success.
An expansion of the market analysis. In this part, competitors are researched to find a unique selling point.
Channels with customer activity are identified so they can be studied and approached. It is important to understand what is on their mind. What words do they use? What do they complain about? What topics do they discuss? This will give an idea of what customers are thinking and how the solution should look like.
Examples: Subreddits, Discord channels, Social media, etc.
Tweak the solution to better solve the customer pain points. This is an iterative process that evolves over time.
Based on the previous points, a marketing promise + story is created. This sets the tone for all marketing efforts.
Marketing promise:
A simple landing page is created targeted at the ideal customer, including a description of the problem, the solution, and a signup field. This should match the marketing promise made in the previous point. The identified customer channels are approached and the idea is pitched, oresented in a way where the product is almost finished. When people sign up, send an automated email to inform them about the production. Analyze how many leave their email to gauge market interest.
Once there are around 50 signups, an MVP is built that solves the identified pain points. This should not take more than a couple of weeks.
Metrics are essential to assess if the product successfully addresses the pain points. Example of these metrics are Customer Lifetime Value, Retention Rate, and Product usage.
In addition, important funnels are identified so they can be optimized later on. For example the funnel from website traffic to a paid customer, or the funnel from home screen to feature usage.
Below is an example of a SaaS acquisition funnel with its respective metrics:
Once important metrics & funnels are defined, Google Analytics and Mixpanel are implemented to gather the necessary data. This is the backbone of all strategic business & product decisions.
These are acquired cold. Send potential customers emails, dm’s, messages on forums etc. Anything to get the first 10 paying customers. They are nurtured and spoiled heavily in order to learn as much as possible:
The customer experience should be as frictionless as possible based on customer feedback. This includes:
The original idea is tested to a larger audience and opportunities are identified that can accelerate growth. Using advanced analytics, potential high-value niche customers can be found. The key is to gather as much customer behavior data as necessary to make good decisions.
The next steps are performed in parallel, and not sequentially.
Based on the business understanding of part 1, the most optimal channels are targeted for marketing. This heavily depends on where the customers are active. It is crucial to make the marketing stand out and do something creative that is different than others.
Below is an overview of the different types of marketing:
2.1.1 Outbound sales
Manually contacting customers, nurturing the relationship, and asking them to buy.
2.1.2 Owned media
Online channels owned and controlled by the business, such as a blog, website, or social media channels. I believe the best way to approach this is to offer valuable content to the customers.
2.1.3 Affiliates
Ask people with influence to promote the product for a commission.
2.1.4 Referrals
Incentivize customers to invite their friends to use the product. For example, more features or a reduction in the price.
2.1.5 Earned media
Media you earn. For example, large media channels that write articles about the product. The marketing promise and story are very important here to get them to publish.
2.1.6 Paid media
Purchasing advertising to specifically target audiences. Some of the revenues can be reinvested to pay for this.
Again, multiple options are tested. With the use of data, channels with the most ROI are targeted.
Baselines and benchmarks are used to guide on what to do next. The North Star Metric is used as the main metric to optimize.
The North Star Metric (NSM) is the metric that a company uses as a focus for its growth. This number best reflects the amount of value that the company brings to its customers.
It is used by almost all large players, such as Spotify, Airbnb and Facebook:
Spotify = Time spent listening
Airbnb = Number of nights booked
Facebook = Monthly active users
Focusing on the North Star Metric makes sure all efforts are directed at one goal.
This process never ends. The product is continuously tweaked to the environment.
The pricing structure should be easy to understand. The most optimal price is when:
Getting from 10k to 83k is done by focussing on the things that worked in the previous steps. This is also why Google Analytics and Mixpanel are essential. They provide valuable information on activities that have high returns on investment. The key is to do more of what works and focus on the fundamentals. Depending on the business and time requirements, extra people can be hired to grow the business further.
The truth is I’m looking for developers to partner up with. I’m willing to help for free and apply the above steps to your business. For zero equity stake or $. My goal is to learn and create the best framework to build these businesses.
If you have a micro SaaS product and need help with your growth, send me a message and let’s talk.
Thanks a lot for your insights!! I've sent you a DM on twitter 😊